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An ℓ 1 -oracle inequality for the Lasso in finite mixture of multivariate Gaussian regression models.

Emilie Devijver
ESAIM: Probability and Statistics, 2015
Journal articles hal-01075338v2

Optimal Block Diagonal Covariance Matrices in Large Scale Gaussian Graphical Models

Mélina Gallopin , Emilie Devijver
StatMathAppli 2015, Aug 2015, Fréjus, France
Conference papers hal-01256226v1
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Block-diagonal covariance selection for high-dimensional Gaussian graphical models

Emilie Devijver , Mélina Gallopin
Journal of the American Statistical Association, 2016, pp.1 - 9. ⟨10.1080/01621459.2016.1247002⟩
Journal articles hal-01227608v1

Transductive Bounds for the Multi-class Majority Vote Classifier

Vasilii Feofanov , Emilie Devijver , Massih-Reza Amini
Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-2019), Jan 2019, Honolulu, United States. pp.3566-3573, ⟨10.1609/aaai.v33i01.33013566⟩
Conference papers hal-02414026v1
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Model-based clustering for high-dimension data. Application to functional data.

Emilie Devijver
2014
Preprints, Working Papers, ... hal-01060063v1
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Nonlinear mixed effects modeling and warping for functional data using B-splines

Gerda Claeskens , Emilie Devijver , Irène Gijbels
Electronic Journal of Statistics , In press, ⟨10.1214/21-EJS1917⟩
Journal articles hal-03366890v1
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Discussion on "Minimal penalties and the slope heuristic: a survey" by Sylvain Arlot

Emilie Devijver
Journal de la Société Française de Statistique, 2019, 160 (3), pp.119-120
Journal articles hal-03094408v1

Entropy-Based Discovery of Summary Causal Graphs in Time Series

Charles Assaad , Emilie Devijver , Eric Gaussier
Entropy, 2022, 24 (8), pp.1156. ⟨10.3390/e24081156⟩
Journal articles hal-03765359v1
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Prediction regions through Inverse Regression

Emilie Devijver , Emeline Perthame
Journal of Machine Learning Research, 2020, 21 (113), pp.1-24
Journal articles hal-01840234v3
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Transductive Bounds for the Multi-class Majority Vote Classifier

Vasilii Feofanov , Emilie Devijver , Massih-Reza Amini
Proceedings of the AAAI Conference on Artificial Intelligence, 2019, 33, pp.3566-3573. ⟨10.1609/aaai.v33i01.33013566⟩
Journal articles hal-01980449v2
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Uncertain Trees: Dealing with Uncertain Inputs in Regression Trees

Myriam Tami , Marianne Clausel , Emilie Devijver , Adrien Dulac , Éric Gaussier et al.
2018
Other publications hal-03050675v1
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Finite mixture regression: a sparse variable selection by model selection for clustering.

Emilie Devijver
Electronic Journal of Statistics , 2015
Journal articles hal-01060079v1

Analyse fonctionnelle de trajectoires de souris en cognition sociale

Jean-Charles Quinton , Emilie Devijver , Adeline Leclercq-Samson , Annique Smeding
Congrès International de Psychologie Sociale en Langue Française, Jul 2018, Louvain-la-Neuve, Belgique
Conference papers hal-01839425v1
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Unsupervised topological learning approach of crystal nucleation in pure Tantalum

Sébastien Becker , Emilie Devijver , Rémi Molinier , Noël Jakse
Machine Learning and the Physical Sciences - Workshop at the 35th Conference on Neural Information Processing Systems (NeurIPS), Dec 2021, Vancouver, Canada.
Poster communications hal-03559641v1
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Scaling Causal Inference in Additive Noise Models

Karim Assaad , Emilie Devijver , Éric Gaussier , Ali Ait-Bachir
2019
Books halshs-02404727v1
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A Conditional Mutual Information Estimator for Mixed Data and an Associated Conditional Independence Test

Lei Zan , Anouar Meynaoui , Charles K Assaad , Emilie Devijver , Eric Gaussier et al.
Entropy, 2022, 24 (9), pp.1234. ⟨10.3390/e24091234⟩
Journal articles hal-03806590v1
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Glass-forming ability of elemental zirconium

Sébastien Becker , Emilie Devijver , Rémi Molinier , Noël Jakse
Physical Review B, 2020, 102 (10), pp.104205. ⟨10.1103/PhysRevB.102.104205⟩
Journal articles hal-03181321v1
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Wrapper feature selection with partially labeled data

Vasilii Feofanov , Emilie Devijver , Massih-Reza Amini
Applied Intelligence, 2022, ⟨10.1007/s10489-021-03076-w⟩
Journal articles hal-03765597v1
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Prediction of the Nash through Penalized Mixture of Logistic Regression Models

Marie Morvan , Emilie Devijver , Madison Giacofci , Valérie Monbet
Annals of Applied Statistics, 2021, 15 (2), pp.952-970. ⟨10.1214/20-AOAS1409⟩
Journal articles hal-02151564v2
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JOINT RANK AND VARIABLE SELECTION FOR PARSIMONIOUS ESTIMATION IN A HIGH-DIMENSIONAL FINITE MIXTURE REGRESSION MODEL

Emilie Devijver
2017
Preprints, Working Papers, ... hal-01099296v2
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Clustering electricity consumers using high-dimensional regression mixture models

Emilie Devijver , Yannig Goude , Jean-Michel Poggi
2015
Preprints, Working Papers, ... hal-01169324v1
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High-dimensional mixture regression models, application to functional data

Emilie Devijver
Statistics [math.ST]. Université Paris Sud (Paris 11), 2015. English. ⟨NNT : ⟩
Theses tel-01695257v1

Functional mixed effect models for mouse-tracking data in social cognition

Jean-Charles Quinton , Emilie Devijver , Adeline Samson , Annique Smeding
ESCON Transfer of Knowledge Conference, Aug 2017, Gdansk, Poland
Conference papers hal-01966806v1

A Mixed Noise and Constraint-Based Approach to Causal Inference in Time Series

Charles K. Assaad , Emilie Devijver , Eric Gaussier , Ali Ait-Bachir
Machine Learning and Knowledge Discovery in Databases. Research Track, 12975, Springer International Publishing; Springer International Publishing, pp.453-468, 2021, Machine Learning and Knowledge Discovery in Databases. Research Track, ⟨10.1007/978-3-030-86486-6_28⟩
Book sections hal-03367789v1
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Discovery of Extended Summary Graphs in Time Series

Charles K Assaad , Emilie Devijver , Eric Gaussier
2022
Preprints, Working Papers, ... hal-03815841v1
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Smooth And Consistent Probabilistic Regression Trees

Sami Alkhoury , Emilie Devijver , Marianne Clausel , Myriam Tami , Éric Gaussier et al.
NeurIPS 2020 - 34th International Conference on Neural Information Processing Systems, Dec 2020, Virtuelle, France. pp.1-11
Conference papers hal-03050168v1